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dc.contributor.authorCui, Yang
dc.contributor.authorTorabi, Mahmoud
dc.contributor.authorForget, Evelyn L
dc.contributor.authorMetge, Colleen
dc.contributor.authorYe, Xibiao
dc.contributor.authorMoffatt, Michael
dc.contributor.authorOppenheimer, Luis
dc.date.accessioned2015-10-07T15:53:56Z
dc.date.available2015-10-07T15:53:56Z
dc.date.issued2015-04-01
dc.identifier.citationBMC Health Services Research. 2015 Apr 01;15(1):129
dc.identifier.urihttp://dx.doi.org/10.1186/s12913-015-0807-2
dc.identifier.urihttp://hdl.handle.net/1993/30876
dc.description.abstractAbstract Background Hospital readmission is costly and potentially avoidable. The concept of virtual wards as a new model of care is intended to reduce hospital readmissions by providing short-term transitional care to high-risk and complex patients in the community. In order to provide information regarding the development of virtual wards in the Winnipeg Health Region, Canada, this study used spatial statistics to identify geographic variations of hospital readmissions in 25 neighborhood clusters. Methods The data were obtained from the Population Health Research Data Repository housed at the Manitoba Centre for Health Policy. We used a Bayesian Disease Mapping approach which applied Markov chain Monte Carlo (MCMC) for cluster detection. Results Between 2005/06 and 2008/09, 123,842 patients were hospitalized in all Winnipeg hospitals. Of these, 41,551 (33%) were readmitted to hospital in the year following discharge. Most of these readmitted patients (89.4%) had 1–2 readmissions, while 11.6% of readmitted patients had more than 2 readmissions after initial discharge. The smoothed age- and sex- adjusted relative risk rates of hospital readmission in 25 Winnipeg neighborhood clusters ranged between 0.73 and 1.27. We found that there were spatial cluster variations of hospital readmission across the Winnipeg Health Region. Seven neighborhood clusters are more likely to be significant potential clusters for hospital readmissions (p < .05), while six neighborhood clusters are less likely to be significant potential clusters. Conclusions This study provides the foundation and implementation guide for the Winnipeg Regional Health Authority virtual ward program. The findings will also help to improve long-term condition management in community settings and will help program planners to assure the efficient use of healthcare resources.
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleGeographical variation analysis of all-cause hospital readmission cases in Winnipeg, Canada
dc.typeJournal Article
dc.typeinfo:eu-repo/semantics/article
dc.language.rfc3066en
dc.rights.holderCui et al.; licensee BioMed Central.
dc.date.updated2015-10-06T22:52:26Z


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